2026 Agenda

As AI reshapes financial crime and CPS 230 redefines accountability, traditional fraud frameworks are no longer fit for purpose.

This masterclass equips risk and compliance leaders with the skills they need to re-engineer fraud-control systems that are faster, smarter, and ready for AI-enabled threats.

Through practical case studies and guided exercises, you’ll learn how to unify fraud, AML, and cyber controls into one adaptive framework that strengthens governance, resilience, and regulatory confidence.

Learning Outcomes

• Diagnose vulnerabilities in existing control environments and pinpoint where AI and automation create new exposure
• Integrate fraud, cyber, and operational-risk defences into a single, auditable resilience model aligned with CPS 230 and ISO 31000
• Govern AI and machine-learning models ethically, from data integrity to bias management and model validation
• Reinforce assurance and accountability through dynamic three-lines-of-defence testing and continuous fraud-control monitoring
• Prove control effectiveness and return on investment to boards through actionable metrics, benchmark dashboards, and audit-ready reporting

Behind every fraud is a human decision shaped by pressure, opportunity, and culture.

This masterclass gives senior fraud, risk and compliance leaders the tools to understand and reshape the behaviours that drive or deter misconduct.

Through applied behavioural science, case analysis and practical frameworks, you’ll learn how to transform ethical culture from a compliance obligation into a competitive advantage for organisational resilience and trust.

Learning Outcomes

• Uncover the behavioural patterns, incentives and biases that influence decision-making and fraud vulnerability
• Diagnose cultural blind spots and redesign systems, policies and rewards to reduce unethical choices
• Embed behavioural “nudges” that make doing the right thing the easiest choice for employees
• Create high-trust whistleblowing and speak-up environments that surface risk before it escalates
• Lead teams confidently through ethical crises, restoring transparency, morale and long-term cultural integrity

• Addressing the scale of Australia’s fraud problem and how law enforcement and regulators are evolving new strategies to combat it 
• Examining how the National Anti-Scam Centre, AFP and industry coalitions are coordinating cross-sector responses to increasing fraud exposure  
• Exploring next-generation prevention models linking government, banking, telecommunications and digital-platform ecosystems

• Where are AI-supported scams and deepfake frauds expanding the fastest, and how can organisations keep pace with detection?
• How must authentication, KYC and fraud controls evolve to combat synthetic identities and impersonation attacks?
• What gaps still hinder real-time intelligence sharing between industry and law enforcement, and how can those gaps be closed?

• Identifying where gaps in customer, employee and supplier screening create the greatest exposure to fraud, sanctions non-compliance and reputational risk
• Enhancing transaction monitoring, KYC and enhanced due diligence to surface anomalous behaviour and evolving fraud patterns in real time
• Strengthening enterprise-wide screening and assurance across PEPs, sanctions, vendors and advisors to create a regulator-ready financial-crime posture

• Moving beyond tick-box compliance to develop real-world fraud resilience and prevention outcomes
• Learning how to turn detection data, control maturity scores, and response times into executive-level performance dashboards to drive accountability
• Benchmarking your metrics against peer organisations to improve your ROI, secure funding, and demonstrate measurable impacts in fraud detection and reduction

• Creating trusted, well-protected speak-up channels to enhance employee confidence and reporting transparency
• Detecting emerging insider risks faster using behavioural analytics to identify patterns before they escalate
• Reinforcing organisational integrity by ensuring leaders model the ethical behaviour and accountability they expect from others

• What challenges do organisations face when shifting from manual fraud review processes to AI-driven detection systems, and how can those challenges be overcome?
• How can teams balance the power of automation with the need to manage false positives and an investigator’s workload effectively?
• What skills, structures, and data capabilities are essential for organisations to interpret and act on fraud alerts in real time?

• Treating scam prevention as a core compliance obligation designed to withstand scrutiny, protect vulnerable customer segments, and avoid multi-million-dollar penalties
• Embedding detection, monitoring and customer-safety protocols into product, billing, contact centres and digital channels to reduce exposure, strengthen trust & demonstrate good-faith governance
• Translating enforcement outcomes into improved policies, clearer accountability, and stronger cross-functional escalation frameworks to create sustainable fraud defence and long-term reputational immunity

• Reinforcing authentication and verification processes to prevent unauthorised access during account creation and login
• Detecting and disrupting suspicious behaviour early through behavioural analytics and continuous monitoring
• Coordinating fraud, cybersecurity, and customer teams to ensure a seamless, secure digital experience that builds ongoing client trust

• Defining what “digital trust” means across fraud prevention and data governance functions
• Balancing data-sharing needs with privacy obligations to build public and regulator confidence
• Establishing enterprise-wide accountability models for maintaining trust in digital transactions

• Improving internal investigation efficiency by prioritising credible reports and allocating resources where they have the greatest impact
• Establishing stronger cases by collecting and documenting evidence that meets legal and regulatory standards
• Protecting organisational integrity by maintaining privacy, confidentiality, and a defensible chain of evidence from start to finish

• Where are internal audit teams most frequently blindsided by fraud risk today, and how can they anticipate emerging exposure points earlier? 
• How can auditors evaluate fraud controls, data integrity, and escalation pathways without becoming operational owners or losing independence? 
• What audit analytics, behavioural indicators, or control maturity metrics are proving most effective in surfacing early warning signs?
• What governance mechanisms help auditors challenge management, secure timely access to information, and protect whistleblowers without political backlash?

• Coordinating multiple investigations strategically to minimise risk, duplication, and cost
• Managing disclosure and regulator communications strategically to protect legal standing and preserve evidence integrity
• Preserving organisational credibility and stakeholder trust through transparent communication and decisive governance under scrutiny

• Identify the deliberate techniques used by offenders to deceive victims
• Demonstrate the impact of fraud on victims, encompassing an array of financial and non-financial harms
• Outline ways to improve current responses to fraud victims from an organisational perspective

• Expediting investigations and asset recovery by cultivating trusted relationships with overseas agencies and enforcement partners
• Reducing legal and operational risk by understanding privacy, evidentiary, and procedural requirements across the key jurisdictions
• Streamlining complex cases by applying best practice to overcome delays, data-sharing barriers, and cross-border bottlenecks

• What level of visibility and assurance do boards now expect from management when it comes to fraud risk exposure and mitigation?
• How can executives present fraud data, metrics, and incidents in a way that creates genuine confidence with senior executives and the board rather than just allowing them to tick a compliance box on a checklist?
• What governance structures or reporting mechanisms are most effective in helping boards challenge and support management on fraud prevention initiatives?

• Demonstrating accountability in governance and regulatory disclosures by embedding clear, data-backed fraud, and integrity metrics to show real progress and control effectiveness
• Translating complex fraud data into transparent insights to enhance credibility with boards, regulators and investors
• Using integrity reporting to strengthen compliance alignment, build trust, and prove the organisation’s resilience under scrutiny

• Fostering advanced analytical and forensic techniques to enhance early identification of emerging fraud patterns 
• Deepening coordination between investigation, audit, and compliance teams for efficient and effective case resolution
• Leveraging technology and behavioural insights to enhance the investigations accuracy and effectiveness

• Strengthening cross-functional coordination to contain incidents quickly and protect customers, data and operational continuity
• Managing regulator, board, media and stakeholder expectations with clarity, transparency and controlled escalation
• Embedding long-term cultural, structural and governance improvements that enhance organisational resilience and reduce future risk